Wildfires: an Application of Remote Sensing and OBIA

d345a549-ac7f-4753-91ce-d0a14cd5f9a920210415070228670wsea:wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT2224-34961790-507910.37394/232015http://wseas.org/wseas/cms.action?id=40311820211820211710.37394/232015.2021.17https://wseas.org/cms.action?id=23258Wildfires: an Application of Remote Sensing and OBIAGiulianaBilottaNT& ITA Department of Planning, University IUAV of Venice Santa Croce 191, Tolentini 30135 Venice, ITALYSalvatoreCalcagnoDICEAM – Civil, Energy Environmental and Material Engineering Department Mediterranea University, Località Feo di Vito, 89124 Reggio Calabria, ITALYStefanoBonfaGrouping (UKEIG) N. GEE000176, 87 Hungerdown E46QJ London, UNITED KINGDOM- To maintain soil stability and integrity, it is important to distinguish between soil covered by thick vegetation and that made arid and barren by fire, particularly when considering growing climate change. The safeguarding of these territories and the fight against its progressive environmental degradation requires great attention be paid to forest fires, particularly when considering the enormous environmental damage that fires have caused to important and widespread areas of the globe. The purpose of the contribution here is to compare processing techniques of high-resolution remotely sensed data from optical satellites to determine the best method of automatic discrimination of fire areas, thereby allowing the management of burnt areas in the context of subsequent fire risk. These integrated techniques were developed in a Geographic Information System (GIS) to get an accurate perimeter, and in general to analyze and manage data, geographic and otherwise, with spatial and geostatistical queries and analyzes. 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